[AISWorld] CFP IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies BDCAT, 16-19 December 2024 Sharjah, UAE

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IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies 
BDCAT, 16-19 December 2024
Sharjah, UAE

Apologies of cross-posting.
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The 11th IEEE/ACM International Conference on
Big Data Computing, Applications, and Technologies (BDCAT 2024)
16 – 19 December 2024
Sharjah, UAE

www.bdcat-conference.org <http://www.bdcat-conference.org/> 


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We are pleased to inform you that the “11th IEEE/ACM International Conference on Big Data Computing, Applications, and Technologies (BDCAT 2024)” will be held in Sharjah, United Arab Emirates between 16 and and 19 December, 2024.

Recent years witnessed significant interest in the use of Machine Learning and AI-based techniques to support large data analysis, with research and implementation of systems specifically focused on supporting different phases of the data processing lifecycle. These have ranged from in-memory systems and distributed environments (e.g., MapReduce/Hadoop, Spark) to specialist environments for stream processing of data and events (e.g., Flink, Kinesis) and Serverless (e.g., OpenWhisk, AWS Lambda). On the other hand, we also realise the importance of computational systems required to process small data volumes, but which involve interdependencies and relationships that are hard to capture and derive.

The IEEE/ACM International Conference on Big Data Computing, Applications, and Technologies (BDCAT) is a premier annual conference series aiming to provide a platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. Previous events were held in London, UK (BDCAT 2014), Limassol, Cyprus (BDCAT 2015), Shanghai, China (BDCAT 2016), Austin, USA (BDCAT 2017), Zurich, Switzerland (BDCAT 2018), Auckland, New Zealand (BDCAT 2019), Leicester, UK (BDCAT 2020), Leicester, UK (BDCAT 2021), Vancouver, USA (BDCAT 2022), and Taormina, Italy (BDCAT 2023). The BDCAT 2024 will be held in conjunction with the 17th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2024) in Sharjah, UAE.

Authors are invited to submit original, unpublished research manuscripts in all areas of Big Data computing, applications and technologies, as well as on related scaling data analysis.

Topics of interest include (but not limited to):

Scaling Machine Learning and Data Mining
Data Science Models and Approaches
Data Acquisition, Integration, Cleaning and Best Practices
Supervised, Unsupervised and Reinforcement Learning
Neural Networks, Convolution Neural Networks and Recurrent Neural Networks
Transformer and Natural Language Processing
Swarm Intelligence and Evolutionary Strategy
Efficient Model Training, Inference and Serving
Distributed, Federated and Parallel Learning Algorithms
Testing, Debugging and Monitoring
Fairness, Interpretability and Explainability
Specialized Hardware for Scaling
Scaling Data Infrastructures and Platforms
Scalable Computing Models, Theories and Algorithms
Mapreduce: Hadoop and Spark
Privacy and Security over the Data Life Cycle
Data Search and Information Retrieval Techniques
Extract/Transform/Load (ETL) or ETL Pipelines
In-Memory Systems and Platforms
Performance Evaluation Reports
Storage Systems (including file systems, NoSQL, and RDBMS)
Resource Management Approaches
Data Analytics on Edge Devices
Fault Tolerance and Reliability
Energy-Efficiency and Sustainability
Data Archival and Preservation
Scaling Data Applications
Data Applications for Internet of Things, Mobile Applications and Cyber-Physical Systems
Data Applications for Healthcare and Life Science (e.g., Genome Processing)
Data Applications for Physical Science and Engineering
Data Applications for Business and Enterprise Applications
Data Applications for Social Networks
Data Applications for Scientific Case Studies
Data Applications over the Cloud-Edge Continuum
Data Streaming and Batch Applications
Data Trends and Challenges
Scaling Data Visualization
Visual Analytics Algorithms and Foundations
Graph and Context Models for Visualization
Analytics Reasoning and Sense-making
Visual Representation and Interaction
Data Transformation and Presentation

PAPER SUBMISSION
Submitted manuscripts must represent original unpublished research that is not currently under review for any other conference or journal. Manuscripts are submitted in PDF format and may not exceed ten (10) ACM-formatted *double-column* pages, including figures, tables, and references. All manuscripts undergo a double-blind peer-review process and will be reviewed and judged on correctness, originality, technical strength, rigor in analysis, quality of results, quality of presentation, and interest and relevance to the conference attendees. Your submission is subject to a determination that you are not under any sanctions by ACM. Accepted papers will later be converted into single-column format through the ACM TAPS process and therefore need to use the new templates that are single-column by default. Switch them to double-column for authoring your paper. This is possible in both the Word and the LaTeX templates.

At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. The conference proceedings will be published by the ACM and made available online via the IEEE Xplore Digital Library and ACM Digital Library.

IMPORTANT DATES

Time zone: Anywhere in the world!
Paper Submissions Due: 10 August 2024
Acceptance Notification: 7 October 2024
Camera Ready Papers Due: 20 October 2024

AWARDS AND SPECIAL ISSUES

A selection commission chaired by the BDCAT 2024 technical programme committee will select and acknowledge the best paper to receive an award during the conference.

Authors of highly rated papers from BDCAT 2024 will be invited to submit an extended version to special issues of prestigious journals.